{"id":"W2950900555","doi":"10.21831/jk.v3i1.16189","title":"UNIVERSITY GOVERNANCE THROUGH WEBSITE DISCLOSURE","year":2020,"lang":"en","type":"article","venue":"Jurnal Kependidikan Penelitian Inovasi Pembelajaran","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute on Governance","funders":"","keywords":"Nonprobability sampling; Accreditation; Library science; Business; Political science; Sociology; Computer science; Law","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009896891,0.0002142472,0.0002575066,0.001768136,0.003288206,0.01024845,0.0006941057,0.001159271,0.0070766],"category_scores_gemma":[0.0492355,0.0002024475,0.00028512,0.002872528,0.002678173,0.006177321,0.004204764,0.001791557,0.001056378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002792152,"about_ca_system_score_gemma":0.0046051,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387301,"about_ca_topic_score_gemma":0.001501017,"domain_scores_codex":[0.9756472,0.01430978,0.001694695,0.001295741,0.005485822,0.001566737],"domain_scores_gemma":[0.9349459,0.02918214,0.01963684,0.006458146,0.006012247,0.003764669],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.000143699,0.0003917519,0.2661344,0.0008027931,0.0001024334,0.001287094,0.1268051,0.001237327,0.00272217,0.1459551,0.03179219,0.422626],"study_design_scores_gemma":[0.00003227069,0.0003902887,0.181348,0.001786479,0.0001161352,0.002189458,0.199712,0.003720106,0.005450629,0.05383867,0.5511468,0.0002690814],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6867653,0.003919862,0.0182936,0.02075307,0.000463249,0.0002566272,0.0004962922,0.0003301673,0.2687219],"genre_scores_gemma":[0.9902049,0.0006092315,0.001036344,0.0006942175,0.00009616908,0.00005382356,0.00007217061,0.00002109768,0.007212008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01024845,"threshold_uncertainty_score":0.05234039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06201485003993155,"score_gpt":0.2474508757763052,"score_spread":0.1854360257363737,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}